Adaptive bilateral filter for image denoising and its application to in-vitro Time-of-Flight data

2011 ◽  
Author(s):  
Alexander Seitel ◽  
Thiago R. dos Santos ◽  
Sven Mersmann ◽  
Jochen Penne ◽  
Anja Groch ◽  
...  
Keyword(s):  
Image Denoising ◽  
Time Of Flight ◽  
Bilateral Filter ◽  
Flight Data

An image Denoising Method Based On Multi Resulation Bilateral Filter

2018 ◽  
Vol 6 (12) ◽  
pp. 448-452
Author(s):  
Md Shaiful Islam Babu ◽  
Kh Shaikh Ahmed ◽  
Md Samrat Ali Abu Kawser ◽  
Ajkia Zaman Juthi
Keyword(s):  
Image Denoising ◽  
Bilateral Filter ◽  
Denoising Method

Image denoising by preserving geometric components based on weighted bilateral filter and curvelet transform

Optik ◽  
2018 ◽  
Vol 159 ◽  
pp. 333-343 ◽  
Author(s):  
Sidheswar Routray ◽  
Arun Kumar Ray ◽  
Chandrabhanu Mishra
Keyword(s):  
Image Denoising ◽  
Curvelet Transform ◽  
Bilateral Filter

Echocardiographic image denoising using extreme total variation bilateral filter

Optik ◽  
2016 ◽  
Vol 127 (1) ◽  
pp. 30-38 ◽  
Author(s):  
Nagashettappa Biradar ◽  
M.L. Dewal ◽  
ManojKumar Rohit ◽  
Ishan Jindal
Keyword(s):  
Image Denoising ◽  
Total Variation ◽  
Bilateral Filter ◽  
Echocardiographic Image

scholarly journals Survey of Thermal Plasma Composition in Saturn's Magnetosphere Using Time-of-Flight Data From Cassini/CAPS

2018 ◽  
Vol 123 (8) ◽  
pp. 6494-6513 ◽  
Author(s):  
M. Felici ◽  
C. S. Arridge ◽  
R. J. Wilson ◽  
A. J. Coates ◽  
M. Thomsen ◽  
...  
Keyword(s):  
Thermal Plasma ◽  
Time Of Flight ◽  
Plasma Composition ◽  
Flight Data

scholarly journals Rapid Deconvolution of Low-Resolution Time-of-Flight Data using Bayesian Inference

2019 ◽  
Author(s):  
Cornelius Pieterse ◽  
Michiel B. De Kock ◽  
Wesley D. Robertson ◽  
Hans C. Eggers ◽  
R. J. Dwayne Miller
Keyword(s):  
Time Of Flight ◽  
Stopping Criterion ◽  
Amplitude Ratios ◽  
Resolution Time ◽  
Low Resolution ◽  
Flight Data ◽  
Additional Information ◽  
Bayesian Prior ◽  
Accurate Quantification ◽  
General Method

Deconvolution of low-resolution time-of-flight data has numerous advantages including the ability to extract additional information from the experimental data. We augment the well-known Lucy-Richardson deconvolution algorithm by various Bayesian prior distributions and show that a prior of second-differences of the signal outperforms the standard Lucy-Richardson algorithm, accelerating the rate of convergence by more than a factor of four, while preserving the peak amplitude ratios of a similar fraction of the total peaks. A novel stopping criterion and boosting mechanism is implemented to ensure these methods converge to a similar entropy, and that local minima are avoided, respectively. Improvement by a factor of two in mass resolution allows more accurate quantification of the spectra. The general method is demonstrated in this paper by the deconvolution of fragmentation peaks of the DHB matrix, as well as the BTP thermometer ion, following femtosecond ultraviolet laser desorption.

In-vitro Evaluation von endoskopischer Oberflächenrekonstruktion mittels Time-of-Flight-Kameratechnik

2011 ◽  
pp. 184-188
Author(s):  
A. Groch ◽  
S. Hempel ◽  
S. Speidel ◽  
K. Höller ◽  
R. Engelbrecht ◽  
...  
Keyword(s):  
Time Of Flight ◽  
In Vitro Evaluation
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